CDC PUBLIC HEALTH GRAND ROUNDS Autism Spectrum Disorder: From - PowerPoint PPT Presentation

CDC PUBLIC HEALTH GRAND ROUNDS Autism Spectrum Disorder: From Numbers to Know-How Accessible Version: https://youtu.be/AlEJzXf_Qto April pril 22, 2014 22, 2014

Autism Etiology: What We Know and How to Learn More Julie Daniels, MPH, PhD Associate Professor, Epidemiology & Maternal and Child Health Gillings School of Global Public Health University of North Carolina at Chapel Hill 2 2

What is Autism Spectrum Disorder?  Persistent deficits in social communication and interact ions  Restricted interests or repetitive patterns of behavior  Symptoms must  Be present during early development  Cause clinically significant impairment in functioning  Not be better explained by intellectual disability or global abnormality of development  Spectrum is an essential part  Deficits range from mild to severe Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5); American Psychiatric Association, 2013. 3 3

Timeline for Brain Development: Neuron Growth and Connections Neurogenesis Proliferation and Migration Differentiation and Synaptogenesis Myelination Programmed Cell Death Findings indicate that children with autism had altered patterns in the frontal cortex Corel, JL. Cambridge, MA: Harvard University Press; 1975. Stoner R, Chow ML, Boyle MP, et al. N Engl J Med 2014; 370:1209-19. 4 4

Complexity of Autism Spectrum Disorder  Complex and heterogeneous  Likely starts in early brain development, becomes apparent in early childhood  Symptoms and severity vary greatly — “ phenotypic heterogeneity ”  Associated co-morbidity  Cognitive impairment defined as IQ ≤ 70 (~30%)  Developmental regression with onset by age 2 years (20 – 30%)  Other associated conditions (limited data)  Sleep and gastrointestinal disturbances  Anxiety, depression, ADHD, aggression ADHD: Attention deficit hyperactivity disorder Annu Rev Public Health. 2007;28:235 – 58. 5 5

What We Know About the Causes of Autism  The heterogeneous presentation of autism suggests that  A single cause does not exist  Multiple etiologies probably contribute to the constellation of symptoms that are diagnosed as autism spectrum disorder  Early work focused on genetics, but now researchers accept that  Genetic susceptibility involves complex patterns of many genes  Various environmental influences may be involved Annu Rev Public Health. 2007;28:235-58. 6 6

Genetic Risk Factors  High monozygotic (identical) twin concordance: 30-90%  Risk also increased among dizygotic (fraternal) twins (concordance 0-24%) and siblings  Many plausible genes identified, few consistently replicated  Much focus on genes associated with specific aspects of development, neurological connections, or brain structure  Focus is shifting from changes in single genes to  Identifying genetic susceptibility to environmental or other agents  Changes to genes that affect their function (epigenetics)  Complex pattern suggests involvement of many genes and various environmental exposures J Hum Genet. 2013 July; 58(7): 396 – 401. Arch Gen Psychiatry. 2011 ;68(11):1095-102. Pediatrics . 2004;113(5):e472 – 86. 7 7

Environmental Risk Factors and Life Events Under Intense Investigation  Maternal and neonatal immune function  Consistent: rubella infection  Under investigation: infection, autoimmune disorders  Obstetric experience  Consistent: preterm birth, C-section, advanced maternal and paternal age  13% of ASD may be attributable to a suboptimal prenatal environment that leads to preterm birth or C-section  Under investigation: breech presentation, induction of labor ASD: autism spectrum disorder Ann Epidemiol. 2014 Apr;24(4):260-6. Annu Rev Public Health. 2007;28:235-58. 8 8 Pediatrics 128 (2): 344 – 355.

Environmental Risk Factors and Life Events Under Intense Investigation  Medications, hormones and chemicals  Consistent: valproate, thalidomide  Under investigation: newer generation antidepressants, vitamins, folate, metals, air pollutants, flame retardants, pesticides  Example: SSRIs (e.g., fluoxetine) have been associated with an increased risk of autism  Results have been mixed  Difficult to separate the impact of the drug from that of the underlying disease SSRI: selective serotonin reuptake inhibitors Cochrane Database Syst Rev. 2013 . Front Cell Neurosci. 2013 Jun 12;7:72. 9 9 Annu Rev Public Health. 2007;28:235-58.

What Do We Know and How Can We Learn More?  Autism is complex and heterogeneous  Studies must be large and detailed to identify risk factors associated with only certain aspects or phenotypic subtypes of autism  Early genetic studies focused on small, select samples  Family studies are not generalizable to all ASD  Symptom variability among individuals hinders gene finding  Environmental exposure data are often retrospective or imprecise  Rarely captured for critical period of brain development  Limited number and scope of population-based studies with detailed data  ASD diagnosis and recruitment is cost-intensive and time-intensive ASD: autism spectrum disorder 10 10

Study to Explore Early Development – SEED  Multisite case-control study of children aged 2.5 – 5 years in 6 states  CA, CO, GA, MD, NC, PA  Two overarching goals:  Describe phenotypic variability (differences in symptoms) among children with autism  Evaluate etiologic risk factors for the development of autism in refined subgroups, for example:  The role of infection and immune function  The role of specific obstetric complications (preterm delivery, C-section, and assisted reproductive technology)  How phenotypic variability among children is associated with genetic or environmental risk factors www.cdc.gov/ncbddd/autism/seed.html 11 11

Study to Explore Early Development – SEED  Extensive data collection provides detailed information  Infection and immune function  Reproductive and psychiatric history  Medications and occupational exposures  Genetics and phenotypic characteristics  Child’s developmental characteristics and co-occurring conditions  Progress to date  Phase 1 – Data analysis underway  750 children with autism spectrum disorder (ASD)  750 children with non-ASD developmental delays, and 750 controls  Phase 2 data collection underway to double the study size by 2016  SEED will be the largest multi-site study of ASD in the United States www.cdc.gov/ncbddd/autism/seed.html 12 12

Other Current Studies of Autism Etiology  Childhood Autism Risks from Genetics and the Environment (CHARGE)  Northern California case-control study of genes and environmental exposures  Early Autism Risk Longitudinal Investigation (EARLI)  Multi-site study of the prenatal and early childhood experiences of younger siblings of children with autism  Early Markers for Autism Study (EMA)  California, case-control study examining multiple biologic markers collected during pregnancy and the neonatal period  Potential for collaboration and data pooling among these studies hold promise for accelerating our advances in knowledge beincharge.ucdavis.edu/ www.earlistudy.org/ www.ehib.org/project.jsp?project_key=AUTM07 13 13

Future Directions in Autism Research  Expand and pool studies investigating causes and correlates  Incorporate both genetics and environment in etiologic studies  Disease heterogeneity suggests effects for small, susceptible subgroups that would not be distinguished among the population  Genetic and phenotypic subtyping is needed in large studies  Longitudinal characterization of ASD over the life course of individuals may help distinguish etiologically distinct subgroups  Surveillance must continue to monitor trends in prevalence ASD: autism spectrum disorder 14 14

Surveillance for Autism Spectrum Disorder Key Findings and Trends Jon Baio, EdS Behavioral Scientist, Developmental Disabilities Branch Division of Birth Defects and Developmental Disabilities National Center on Birth Defects and Developmental Disabilities Centers for Disease Control and Prevention 15 15

How Common is Autism Spectrum Disorder?  Estimates of population prevalence vary widely across time and location  Different case ascertainment methods  Different case definitions  Challenges in tracking autism prevalence 16 16

Autism and Developmental Disabilities Monitoring Network (ADDM)  Objective: To understand the magnitude and characteristics of the population of children with autism and related developmental disabilities  Currently there are 11 funded ADDM sites, plus CDC/MADDSP  Autism prevalence among 8 year olds is monitored in all sites  Piloting autism surveillance among 4 year olds in six sites  Some sites track Cerebral Palsy (4) or Intellectual Disability (7) MMWR Surveillance Summaries March 28, 2014 / 63(SS02);1-21 MADDSP: Metropolitan Atlanta Developmental Disabilities Surveillance Program 17 17

ADDM = Autism and Developmental Disabilities Monitoring